Inside the Briefcase

How to align your visual brand guidelines and create consistently on-brand content

How to align your visual brand guidelines and create consistently on-brand content

In this ebook, we’ll explore the various themes leading...

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Jon Lombardo, Creative Lead, LinkedIn, reveals in this presentation...

2017 State of Technology Training

2017 State of Technology Training

Pluralsight recently completed an in-depth survey of 300 enterprises...

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

with Srivats Ramaswami, 42Q
In this interview, Srivats Ramaswami,...

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

with Sander Barens, Expereo
In this interview, Sander Barens...

eBook: Making Sense of Stream Processing

March 13, 2017 No Comments

The Philosophy Behind Apache Kafka and Scalable Stream Data Platforms

How can event streams help make your application more scalable, reliable, and maintainable?

In this ebook, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex. Structuring data as a stream of events isn’t new, but with the advent of open source projects like Apache Kafka and others, stream processing is finally coming of age.

Kleppmann explains how these projects can help you reorient your database architecture around streams and materialized views. The benefits include better data quality, faster queries through precomputed caches, and real-time user interfaces. Learn how to open up your data for richer analysis and make your applications more scalable and robust.

Download the eBook to learn more.

Stream processing confluent 199x300 eBook: Making Sense of Stream Processing

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